Evidence map›Paper›PMID 34966582›Full record

ArticlePeerJ2021

Prognostic values of the core components of the mammalian circadian clock in prostate cancer.

Wenchang Yue, Xiao Du, Xuhong Wang, Niu Gui, Weijie Zhang, Jiale Sun, Jiawei You, Dong He, Xinyu Geng, Yuhua Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Wenchang Yue *Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiao Du *Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xuhong WangDepartment of Urology, Tongcheng people's Hospital, Tongcheng, China.
Niu GuiGeneral Surgery Ward 2, Fengtaixian Hospital of Chinese Medicine, Huainan, China.
Weijie ZhangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiale SunDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jiawei YouDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Dong HeDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xinyu GengDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yuhua HuangDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jianquan HouDepartment of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CNBeijing Fengtai Hospital · CNZoucheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PC) is one of the most common malignancies in males. Extensive and complex connections between circadian rhythm and cancer were found. Nonetheless, in PC, the potential role of the core components of the mammalian circadian clock (CCMCCs) in prognosis prediction has not been fully clarified.

methodsWe firstly collected 605 patients with PC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Survival analysis was carried out for each CCMCC. Then, we investigated the prognostic ability of CCMCCs by Cox regression analysis. Independent prognostic signatures were extracted for the establishment of the circadian clock-based risk score model. We explored the predictive performance of the risk score model in the TCGA training cohort and the independent GEO dataset. Finally, the relationships between risk score and clinicopathological parameters, biological processes, and signaling pathways were evaluated.

resultsThe expression levels of CCMCCs were widely correlated with age, tumor status, lymph node status, disease-free survival (DFS), progression-free survival (PFS), and overall survival (OS). Nine circadian clock genes, including CSNK1D, BTRC, CLOCK, CSNK1E, FBXL3, PRKAA2, DBP, NR1D2, and RORB, were identified as vital prognostic factors in PC and were used to construct the circadian clock-based risk score model. For DFS, the area under the 3-year or 5-year receiver operating characteristic curves ranged from 0.728 to 0.821, suggesting better predictive performance. When compared with T3-4N1 stage, PC patients at T2N0 stage might be benefited more from the circadian clock-based risk score model. Furthermore, a high circadian clock-based risk score indicated shorter DFS (

conclusionsThe vital roles of circadian clock genes in clinical outcomes were fully depicted. The circadian clock-based risk score model could reflect and predict the prognosis of patients with PC.

Indexed as

PrognosisProstate cancerRisk score modelSurvivalThe core components of the mammalian circadian clock (CCMCCs)

Identifiers

PMID34966582
PMCPMC8667750
OpenAlexW4200438549

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.